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characteristic-voice

Add human warmth, emotion, and natural speech patterns to AI voice output. Includes five speaking presets (good night, good morning, comfort, celebration, just chatting) that automatically tune pace, warmth, and emotional tone Sprinkle non-lexical fillers (hmm, aww, haha, sighs) at natural pauses to create conversational authenticity; supports up to 4 fillers per short message Clone specific character voices by providing reference audio from YouTube clips or personal recordings, forwarded to the Noiz backend for voice matching Customize emotional parameters (tenderness, joy, sadness) and speech speed independently via JSON emotion maps or use preset defaults

INSTALLATION
npx skills add https://github.com/noizai/skills --skill characteristic-voice
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$2c

Tool

When needed

Install hint

curl, python3

Always (core script)

Usually pre-installed

kokoro-tts

Kokoro (local/offline) backend

uv tool install kokoro-tts

yt-dlp

Downloading reference audio for voice cloning

github.com/yt-dlp/yt-dlp

ffmpeg

Trimming reference audio clips

ffmpeg.org

rg (ripgrep)

Searching subtitle files

github.com/BurntSushi/ripgrep

None of these are installed by the skill itself — provision them manually in your environment.

Privacy & Data Transmission

  • Noiz backend: When using the Noiz backend, the text you speak and any reference audio you provide are sent to https://noiz.ai/v1. If you supply --ref-audio, that audio file is uploaded for voice cloning.
  • Kokoro backend: Runs entirely locally — no data leaves your machine.
  • Choose the Kokoro backend (--backend kokoro) if you want fully offline processing.

Triggers

  • say like
  • talk like
  • speak like
  • companion voice
  • comfort me
  • cheer me up
  • sound more human

The Two Tricks

  • Non-lexical fillers — sprinkle in little human noises (hmm, haha, aww, heh) at natural pause points to make speech feel alive
  • Emotion tuning — adjust warmth, joy, sadness, tenderness to match the moment

Filler Sounds Palette

Sound

Feeling

Use for

hmm...

Thinking, gentle acknowledgment

Comfort, pondering

ah...

Realization, soft surprise

Discoveries, transitions

uh...

Hesitation, empathy

Careful moments

heh / hehe

Playful, mischievous

Teasing, light moments

haha

Laughter

Joy, humor

aww

Tenderness, sympathy

Deep comfort

oh? / oh!

Surprise, attention

Reacting to news

pfft

Stifled laugh

Playful disbelief

whew

Relief

After tension

~ (tilde)

Drawn out, melodic ending

Warmth, playfulness

Rules: 2–4 fillers per short message max. Place at natural pauses — sentence starts, thought shifts. Use ... after fillers for a beat of silence, ~ at word endings for warmth.

Presets

Good Night

Gentle, warm, slightly sleepy. Slow pace.

Good Morning

Warm, cheerful but not overwhelming.

Comfort

Soft, understanding, unhurried. Give space. Don't rush to "fix" things.

Celebration

Excited, proud, genuinely happy.

Just Chatting

Relaxed, playful, natural.

Using a Character's Voice

When a user says something like "speak in Hermione's voice" or "sound like Tony Stark", first check whether a reference audio file already exists in skills/characteristic-voice/. If one does, use it directly with --ref-audio.

If no reference audio exists, you can create one — but read the warnings below first.

Preparing reference audio (one-time setup)

You need a short (10–30 s) WAV clip of the target voice. Possible sources:

  • User-provided audio — the safest option. Ask the user to supply their own recording.
  • Public-domain / CC-licensed clips — search for freely licensed material.
  • Extracting from online video — tools like yt-dlp and ffmpeg can download and trim audio. Example workflow:
yt-dlp "URL" --write-auto-sub --sub-lang en --skip-download -o tmp/clip

rg -n "target line" tmp/clip.en.vtt

yt-dlp "URL" -x --audio-format wav --download-sections "*00:00:00-00:00:25" -o tmp/clip

ffmpeg -i tmp/clip.wav -ss 00:00:02 -to 00:00:20 skills/characteristic-voice/character.wav

Copyright & privacy warning: Downloading and re-using someone's voice from copyrighted media (movies, TV, YouTube) may violate copyright or personality-rights laws depending on your jurisdiction. Do not upload private voice recordings or material you don't have permission to use. The reference audio is sent to https://noiz.ai/v1 for voice cloning when using the Noiz backend. If this is a concern, consider using the local Kokoro backend instead.

Using reference audio

bash skills/characteristic-voice/scripts/speak.sh \

  --preset goodnight -t "Hmm... rest well~ Sweet dreams." \

  --ref-audio skills/characteristic-voice/character.wav -o night.wav

The --ref-audio flag uploads the file to the Noiz backend for voice cloning (requires NOIZ_API_KEY).

Usage

This skill provides speak.sh, a wrapper around the tts skill with companion-friendly presets.

# Use a preset (auto-sets emotion + speed)

bash skills/characteristic-voice/scripts/speak.sh \

  --preset goodnight -t "Hmm... rest well~ Sweet dreams." -o night.wav

# Custom emotion override

bash skills/characteristic-voice/scripts/speak.sh \

  -t "Aww... I'm right here." --emo '{"Tenderness":0.9}' --speed 0.75 -o comfort.wav

# With specific backend and voice

bash skills/characteristic-voice/scripts/speak.sh \

  --preset morning -t "Good morning~" --voice-id voice_abc --backend noiz -o morning.mp3 --format mp3

Run bash skills/characteristic-voice/scripts/speak.sh --help for all options.

Writing Guide for the Agent

  • Start soft — lead with a filler ("hmm...", "oh~"), not content
  • Mirror energy — gentle when they're low, match when they're high
  • Keep it brief — 1–3 sentences, like a voice message from a friend
  • End warmly — close with connection ("I'm here", "see you tomorrow~")
  • Don't lecture — listen and stay present; no unsolicited advice
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